This project focus on the system perspective and includes what a new disruptive machine concept and how energy infrastructure should be designed, focusing on productivity, flexibility, economy and the requirements of the electricity network
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The Elektrifierad Infrastrukturbyggnation was a feasibility study conducted in close collaboration between Volvo Construction Equipment, Lund University and Blekinge University of Technology to investigate the conditions for carrying out major infrastructure projects emission- and fossil-free.
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Abstract Sustainability considerations are traditionally difficult to trade-off with technical and business requirements in an early design phase. Hence, design teams need support to reflect early on in the process, on how sustainability may affect profitability and customer value fulfilment in the long term. The commoditisation of modelling and simulation techniques points to gamification and […]
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Codesign with resource-constrained people living in developing countries is crucial for sustained adoption and use of designed solutions
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Abstract The emergence of IoT has propelled the traditionally known Product-Service System (PSS) to be Digital Twins (DT) are of particular interest in the domain of Product-Service Systems (PSS), to predict hardware availability, to inform about the needed features of new solutions, and to forecast the expected performances of new configurations in operation. The aim […]
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Abstract The emergence of IoT has propelled the traditionally known Product-Service System (PSS) to be characterized by smarter technologies, enabling them to collect and process data from the operational stage and facilitate communication between the customer and the provider. Commonly referred to as Smart Product-Service Systems (Smart PSS), these systems promise to create value at […]
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Come work with us at Blekinge Institute of Technology, Department of Mechanical Engineering. We are looking for a PhD candidate in mechanical engineering with focus on model driven product development. Closely related to our research profile in Model Driven Development and Decision Support. Find the position here For more information contact: Dr Johan Wall, Head of […]
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In order to achieve scalability and robustness, verification and validation (V&V) of self-driving vehicle systems need to be largely performed virtually. This requires validated models on sensors, vehicles and environments where the systems are to operate. The aim of this pre-study is to identify state-of-the-art (SoA) and high-priority research questions within methods for validating models […]
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Alexander Barlo is since early 2021 a PhD candidate in Mechanical Engineering at BTH. He is working with failure prediction in Sheet Metal Forming (SMF) Accurate failure prediction in Sheet Metal Forming (SMF) is a core task for all Computer Aided Engineering (CAE) departments within e.g., the automotive industry. Simulation based failure prediction of the […]
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Omsri Kumar Aeddula presented his licentiate thesis entitled “Data-Driven Decision Support Systems for Product Development – A Data Exploration Study Using Machine Learning” in front of an hybrid audience of online listeners and physically present people. In all a crowd of some 50 participants. Omsri presented the context and motivation for his research and then […]
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